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Artificial intelligence and deep learning in ophthalmology - present and future (Review)

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Since its introduction in 1959, artificial intelligence technology has evolved rapidly and helped benefit research, industries and medicine. Deep learning, as a process of artificial intelligence (AI) is used in ophthalmology for data analysis, segmentation, automated diagnosis and possible outcome predictions. The association of deep learning and optical coherence tomography (OCT) technologies has proven reliable for the detection of retinal diseases and improving the diagnostic performance of the eye's posterior segment diseases. This review explored the possibility of implementing and using AI in establishing the diagnosis of retinal disorders. The benefits and limitations of AI in the field of retinal disease medical management were investigated by analyzing the most recent literature data. Furthermore, the future trends of AI involvement in ophthalmology were analyzed, as AI will be part of the decisionmaking regarding the scientific investigation, diagnosis and therapeutic management.
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Document Type: Research Article

Affiliations: 1: Department of Ophthalmology, ‘Grigore T. Popa’ University of Medicine and Pharmacy, 700115 Iai, Romania 2: Department of Otorhinolaryngology, Transmed Expert, 700011 Iai; 4‘Retina Center’ Eye Clinic, 700126 Iai, Romania

Publication date: October 1, 2020

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  • Experimental and Therapeutic Medicine aims to ensure the expedient publication, in both print and electronic format, of studies relating to biology, gene therapy, infectious disease, microbiology, molecular cardiology and molecular surgery. The journal welcomes studies pertaining to all aspects of molecular medicine, and studies relating to in vitro or in vivo experimental model systems relevant to the mechanisms of disease are also included.

    All materials submitted to this journal undergo the appropriate review via referees who are experts in this field. All materials submitted follow international guidelines with regard to approval of experiments on humans and animals.
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